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Staff Data Scientist, Algorithm (Risk Product – AML & Financial Crime)

Airwallex· Product
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SG - SingaporeFull-timePosted 1mo ago

About the role

Technical lead in the Risk Product Data Science team focused on proactively identifying and mitigating financial crime risk through AI-powered detection capabilities across multiple data domains, with emphasis on AML and Financial Crime risk controls.

Responsibilities

  • Lead the Data Science strategy for AML and Financial Crime risk controls across Risk Product.
  • Develop proactive risk detection to uncover emerging threats, suspicious behaviors, control gaps and previously unknown financial crime patterns.
  • Develop and scale advanced risk capabilities across AI-powered screening, graph and network intelligence, entity resolution, and machine learning.
  • Advance key AML/FCC use cases including name screening, transaction monitoring, and detection of coordinated activity and fraud or financial crime rings.
  • Partner with Risk Product, Engineering, Financial Crime Compliance and Risk Operations to translate complex risk problems into effective, scalable production controls.
  • Influence the Risk Product roadmap and raise the technical bar for Risk Data Science through technical leadership, reusable frameworks, and mentoring.]
  • qualifications and skills are embedded under minimum requirements and preferred qualifications
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Qualifications

  • 7+ years of experience in Data Science, Machine Learning, Applied AI, Risk Analytics, or a related quantitative field, with demonstrated impact at Staff, Lead, or equivalent scope.
  • Strong expertise in applied machine learning and modern AI, with experience building and productionizing data-driven solutions at scale.
  • Experience with one or more areas highly relevant to financial crime detection, such as NLP/LLMs, entity resolution, information retrieval, graph or network analytics, anomaly detection, or risk scoring.
  • Strong SQL and Python skills are must
  • Strong communication and stakeholder management skills, with the ability to influence senior partners across Product, Engineering, Risk, Operations, and Compliance.

Skills

Required:Data Science leadershipApplied machine learning
Nice to have:NLP/LLMsEntity resolution
Last updated Oct 7, 2026. Interested? Apply on the company site.
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